# Image Classification on Tiny-ImageNet (beta=0.1) Source: [Image Classification on Tiny-ImageNet (beta=0.1)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:30:30.529Z Evaluation of Image Classification performance on the Tiny-ImageNet dataset using the beta=0.1 configuration, measured by Accuracy. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Image Classification | | Dataset (including any stated split) | Tiny-ImageNet (beta=0.1) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 7 of 7 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | FedCLIP | 69.5 | Not recorded | 68fa78581e209131cea77deb | | GGEUR | 66.86 | Not recorded | 68fa78581e209131cea77deb | | FedTPG | 64.71 | Not recorded | 68fa78581e209131cea77deb | | FedFA (CLIP+MLP) | 64.62 | Not recorded | 68fa78581e209131cea77deb | | FEDGEN (CLIP+MLP) | 64.16 | Not recorded | 68fa78581e209131cea77deb | | FedMix (CLIP+MLP) | 63.43 | Not recorded | 68fa78581e209131cea77deb | | FedAvg (CLIP+MLP) | 60.1 | Not recorded | 68fa78581e209131cea77deb | ### FedCLIP Accuracy: 69.5. Result ID: 699586c83badfaffe67fb376. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Federated Learning Algorithm":"FedCLIP"}. This record does not assert independent reproduction. ### GGEUR Accuracy: 66.86. Result ID: 699586c83badfaffe67fb37b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"CLIP+MLP","Federated Learning Algorithm":"FedAvg"}. This record does not assert independent reproduction. ### FedTPG Accuracy: 64.71. Result ID: 699586c83badfaffe67fb375. [Reporting paper]() Recorded evaluation configuration: {"Federated Learning Algorithm":"FedTPG"}. This record does not assert independent reproduction. ### FedFA (CLIP+MLP) Accuracy: 64.62. Result ID: 699586c83badfaffe67fb379. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP+MLP","Federated Learning Algorithm":"FedFA"}. This record does not assert independent reproduction. ### FEDGEN (CLIP+MLP) Accuracy: 64.16. Result ID: 699586c83badfaffe67fb378. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP+MLP","Federated Learning Algorithm":"FEDGEN"}. This record does not assert independent reproduction. ### FedMix (CLIP+MLP) Accuracy: 63.43. Result ID: 699586c83badfaffe67fb377. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP+MLP","Federated Learning Algorithm":"FedMix"}. This record does not assert independent reproduction. ### FedAvg (CLIP+MLP) Accuracy: 60.1. Result ID: 699586c83badfaffe67fb37a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP+MLP","Federated Learning Algorithm":"FedAvg"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.